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* api changes * doc changes * move docs * generated * generate * pkg * backmerge main * revert to main * revert main * race? * remove go tests
91 lines
2.1 KiB
Python
91 lines
2.1 KiB
Python
from typing import AsyncGenerator, cast
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from uuid import UUID
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from psycopg_pool import ConnectionPool
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from pydantic import BaseModel, ConfigDict
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from hatchet_sdk import Context, EmptyModel, Hatchet
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hatchet = Hatchet(debug=True)
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# > Use the lifespan in a task
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class TaskOutput(BaseModel):
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num_rows: int
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external_ids: list[UUID]
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lifespan_workflow = hatchet.workflow(name="LifespanWorkflow")
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@lifespan_workflow.task()
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def sync_lifespan_task(input: EmptyModel, ctx: Context) -> TaskOutput:
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pool = cast(Lifespan, ctx.lifespan).pool
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with pool.connection() as conn:
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query = conn.execute("SELECT * FROM v1_lookup_table_olap LIMIT 5;")
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rows = query.fetchall()
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for row in rows:
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print(row)
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print("executed sync task with lifespan", ctx.lifespan)
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return TaskOutput(
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num_rows=len(rows),
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external_ids=[cast(UUID, row[0]) for row in rows],
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)
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@lifespan_workflow.task()
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async def async_lifespan_task(input: EmptyModel, ctx: Context) -> TaskOutput:
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pool = cast(Lifespan, ctx.lifespan).pool
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with pool.connection() as conn:
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query = conn.execute("SELECT * FROM v1_lookup_table_olap LIMIT 5;")
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rows = query.fetchall()
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for row in rows:
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print(row)
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print("executed async task with lifespan", ctx.lifespan)
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return TaskOutput(
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num_rows=len(rows),
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external_ids=[cast(UUID, row[0]) for row in rows],
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)
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# > Define a lifespan
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class Lifespan(BaseModel):
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model_config = ConfigDict(arbitrary_types_allowed=True)
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foo: str
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pool: ConnectionPool
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async def lifespan() -> AsyncGenerator[Lifespan, None]:
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print("Running lifespan!")
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with ConnectionPool("postgres://hatchet:hatchet@localhost:5431/hatchet") as pool:
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yield Lifespan(
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foo="bar",
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pool=pool,
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)
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print("Cleaning up lifespan!")
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worker = hatchet.worker(
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"test-worker", slots=1, workflows=[lifespan_workflow], lifespan=lifespan
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)
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def main() -> None:
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worker.start()
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if __name__ == "__main__":
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main()
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